Experian Logo

Experian

Staff Software Architect (AI) - Remote

Posted 2 Days Ago
Remote or Hybrid
Hiring Remotely in Allen, TX
Senior level
Remote or Hybrid
Hiring Remotely in Allen, TX
Senior level
Lead architecture and platform engineering for a real-time, highly available API platform; design event-driven, observability, service-mesh, and AI-integrated systems; drive agent-based automation, LLM orchestration, developer enablement, and production-scale AI deployment while defining governance and evaluation metrics.
The summary above was generated by AI
Company Description

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.

Job Description

The Financial Services Division (FSD) Engineering team is looking for a Staff Software Architect. You will be reporting to the Software Development Director.

Architecture Leadership

  • Architect and evolve our real-time API platform for scalability, low-latency, and high availability (4–5 9s uptime).
  • Lead design and implementation of platform-wide projects, such as event-driven architecture, observability, service mesh integration, and rate-limiting strategies.
  • Define roadmaps across API platforms with emphasis on scalability, maintainability, and rapid experimentation
  • Apply enterprise architecture principles and standards while balancing near-term delivery and long-term platform goals
  • Build for leverage by creating reusable frameworks, automation, and internal tooling to accelerate teams
  • Integrate AI into every layer of architecture to support thoughtful, agentic system design.

Platform and Technical Leadership

  • Lead technical design across consumer products and internal platforms
  • Support agent-based automation and apply MCP to promote scalable AI workflows
  • Shape cohesive end-to-end architecture spanning APIs, services, and frontends

Collaboration and Influence

  • Bring complex projects from concept to production, influencing technical direction across multiple teams.
  • Lead technical deep dives, reviews, and postmortems to improve engineering quality.
  • Promote adoption of tools like GitHub Copilot, Cursor, Claude, and LLM-integrated workflows
  • Advance system-level thinking and reusability through shared scaffolds and frameworks

Innovation and Organizational Impact

  • Lead the Exponential Engineer Initiative to grow AI-first engineering through reusable agents, automation, and internal platforms
  • Promote agent-based design, prompt abstraction, and developer enablement across teams
  • Evaluate and apply latest technologies, especially Generative AI, to improve engineering and results.

Qualifications

  • 8+ years in software engineering
  • 5+ in architecture or principal roles
  • Experience with at least one modern backend language (Java,go, Python, Rust, or Node.js).
  • You have experience integrating LLMs with APIs (e.g., OpenAI, Anthropic, or similar)
  • Experience with AI agent design, LLM orchestration (such as MCP), and integration of AI tools into developer workflows.
  • Proficiency or active use of GitHub Copilot, Cursor, Claude, and prompt-based development tools.
  • Experience in developer enablement, automation platforms, or engineering transformation projects.
  • Experience with API gateways, load balancing, caching, and observability tools (Splunk, Dynatrace)
  • Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
  • Expertise in microservices, GraphQL, API-first design, and AWS-native systems
  • Knowledge of distributed systems, cloud platforms (AWS/GCP/Azure), and modern backend stacks (e.g., Node.js, Java, Go, or Python)
  • Familiarity with event-driven architectures, message queues (Kafka) and stream processing frameworks
  • Operational experience in monitoring, observability, and incident response
  • Experience building multi-agent systems at scale
  • Exposure to AI observability platforms (prompt tracing, token analytics)
  • Experience with fine-tuning or model customization
  • Background in platform engineering or internal developer platforms
  • Experience scaling AI systems to high-volume production workloads
  • Experience defining AI evaluation benchmarks and KPIs
  • Experience defining AI governance, compliance, and responsible AI practices

Additional Information

Our uniqueness is that we celebrate yours. Experian's culture is people-first, inclusive, and purpose-driven. It is also multi-award-winning. In 2025, Fortune Global Top 25 named it one of the World's Best Workplaces™. Additionally, it has been recognized as a Great Place To Work™ in 26 countries, to name a few. Check out Experian Life on social or explore our Careers Site to understand why.

Our compensation reflects the cost of labor across several U.S. geographic markets. We list the base pay range for this position above. Within this range, work location and additional factors such as job-related experience, and education determine individual pay. You will be also eligible for a variable pay opportunity and a comprehensive benefits package.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Benefits/Perks:

  • Great compensation package and bonus plan
  • Core benefits including medical, dental, vision, and matching 401K
  • Flexible work environment, ability to work remote, hybrid or in-office
  • Flexible time off including volunteer time off, vacation, sick and 12-paid holidays

Explore all our exciting benefits here: https://yourexperianbenefits.com/cand-index.html

#LI-Hybrid

HQ

Experian Costa Mesa, California, USA Office

475 Anton Blvd, Costa Mesa, CA, United States, 92626

Experian Costa Mesa, California, USA Office

475 Anton Blvd, Costa Mesa, CA , United States, 92626

Similar Jobs

30 Minutes Ago
Remote or Hybrid
213K-376K Annually
Senior level
213K-376K Annually
Senior level
Cloud • Software
Lead territory sales for ThousandEyes in North Texas, owning full sales cycle from prospecting and demos to pricing, negotiation, and closing. Build account plans, forecast in Salesforce, collaborate with Cisco account teams and customer success, drive new customer acquisition and upsells, and meet quarterly and annual bookings targets.
Top Skills: CiscoSaaSSalesforceThousandeyes
33 Minutes Ago
Remote or Hybrid
3 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
As a Manager in Oracle HCM, you'll help clients optimize HR processes by implementing Oracle solutions, leading teams, and ensuring project success through effective problem-solving and innovation.
Top Skills: Cc&BEbsFusionHyperionOracle ApplicationsOracle Hcm CloudPeoplesoftRiceSiebel
39 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Build, ship, and operate end-to-end production AI/ML solutions for vehicle diagnostics, prognostics, and test analytics. Implement ML pipelines on Azure/Databricks, develop observable ML services, ensure model/data observability, and collaborate with SMEs to embed models into engineering workflows while mentoring other practitioners.
Top Skills: Ci/CdDatabricksExperiment TrackingAzureMlflowModel RegistriesPythonPyTorchScikit-LearnSparkSQLTensorFlow

What you need to know about the Los Angeles Tech Scene

Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.

Key Facts About Los Angeles Tech

  • Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
  • Key Industries: Artificial intelligence, adtech, media, software, game development
  • Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
  • Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account